Measuring Method of Involute Profile Error Based on Machine Vision

2021 ◽  
Author(s):  
Zhi Shan ◽  
Meng Xin ◽  
Wu Di
Keyword(s):  
Machine Vision ◽  
Measuring Method ◽  
Profile Error

Research on Real-Time Measuring Method of Dynamic Deformation Based on Machine Vision and its Application

2011 ◽  
Vol 130-134 ◽  
pp. 3572-3576
Author(s):  
Li Zong Lin ◽  
Xiao Peng Ni ◽  
Luo Shan Zhou ◽  
Zhi Qin Qian
Keyword(s):  
Fatigue Strength ◽  
Machine Vision ◽  
Real Time ◽  
Dynamic Deformation ◽  
Measurement Data ◽  
Measuring Method ◽  
Strength Test ◽  
Time Deformation ◽  
Vision Measurement ◽  
Searching Method

Dynamic deformation measurement of machine parts in fatigue strength test is studied by using machine vision technique. Considering the uncertainty of parts surface, we adopt circular mark to locate the object profile in order to obtain high quality images. Through some image pre-processing with linear filtering, continuous contour searching method and circular detection based on random Hough transform (RHT), the real-time deformation can be measured with image characteristic parameters. In the practical application, the deformation of the loaded bicycle handle-bar is calculated. The test results show that the machine vision measurement is very effective; measurement resolution attains 0.1mm/pixel; the discrete degree of measurement data is low and the system meets the requirement of real-time measurement. The study proves that the measurement method of dynamic deformation based on machine vision is feasible, which can give some help for fatigue strength test of machine part and other structure deformation.

A Fast and Precise Measuring Method for Large Workpiece Based on Machine Vision

2010 ◽  
Vol 139-141 ◽  
pp. 2076-2081 ◽  
Author(s):  
Hu Zhou ◽  
Jian Guo Yang
Keyword(s):  
Machine Vision ◽  
Template Matching ◽  
Vision System ◽  
Measuring Method ◽  
Search Space ◽  
Field Of View ◽  
Image Mosaic ◽  
Machine Vision System ◽  
Stop Criterion ◽  
Machine Parts

Image measurement based on machine vision is a promising method for the precise measurements of machine parts. As for a large sized workpiece that exceeds the FOV (field of view) of the camera, image mosaic must be performed to implement measurement. While traditional template matching algorithms will lead to long runtime consumption, a combination of algorithms with precise mechanical positioning function using motion control was proposed and applied in the machine vision system. The manufacturing and installing errors have been taken into account to improve the positioning accuracy. This method minimized the search space and thereby reduced the runtime substantially. In addition, a stop criterion of the computation for the algorithms was applied to save a considerable amount of time in the process. Experimental results show that the precision of the image mosaic meets the requirements while speeding up the process significantly.

The Study of Thread Parameter Based on Machine Vision for Automatic Measurement

2013 ◽  
Vol 401-403 ◽  
pp. 1158-1161
Author(s):  
Jing Chao ◽  
Zhan Feng Liu ◽  
Yan Shu Liu
Keyword(s):  
Machine Vision ◽  
Image Recognition ◽  
Measurement Accuracy ◽  
Linear Array ◽  
Image Data ◽  
Automatic Measurement ◽  
Measuring Method ◽  
Line Measurement ◽  
On Line ◽  
Tooth Type

In order to improve the measurement accuracy of thread parameter and can realize the automatic measurement of parameter, this paper propose a non-contact measuring method which is based on machine vision, we use the industrial linear array CCD with high-precision scan the projection of the thread which in the field of parallel light, using the image recognition, image acquisition, image data processing technology enable your computer finish the pitch diameter, thread pitch, tooth type angle on a non-contact of real-time, on-line measurement. This article also provides detailed measuring method with the main parameters of thread.

Design and development of a new strain measuring method based on smartphone and machine vision

Measurement ◽  
2021 ◽  
pp. 109724
Author(s):  
Botao Xie ◽  
Xixian Chen ◽  
Mingwei Ding ◽  
Guangyi Zhou ◽  
Xuefeng Zhao
Keyword(s):  
Machine Vision ◽  
Measuring Method ◽  
Design And Development

Study on the Detection and Selection of Bearing Diameter Based on Machine Vision System

2014 ◽  
Vol 533 ◽  
pp. 298-302
Author(s):  
Fu Sheng Yu ◽  
Sheng Jiang Yin ◽  
Teng Fei Li ◽  
Zhong Guo Sun ◽  
Wei Kang Shi
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Three Dimensional ◽  
Movement Control ◽  
Ccd Camera ◽  
Measuring Method ◽  
Machine Vision System ◽  
Technology Roadmap ◽  
Precision Measuring ◽  
Control Units

A new method and system for inspecting the bearing diameter is developed. The mechanical and movement control units, as well as its machine vision system, are designed. A precision measuring method based on machine vision system is developed to measure bearing diameter. Computer outputs the bearing edge contour and its three-dimensional coordinates after image processing software process the image of bearings which are collected by CCD camera. The controller controls the operation of motor by ball screws and drives the movement of individual parts which can crawls the gripper in the three-dimensional coordinates. Inductive gage is used to measure bearing diameter. Besides, a technology roadmap of image edge character detection is analyzed .Gaussian filter is used to noise reduction of the image and canny operator is used to edge detection. Template match is adapted to the automatic recognition of bearing characteristics. The paper may be helpful to those who work on the same subject in future.

Research on Optical Microscope Measuring Method of External Thread Parameters Based on Charge-Couple Device

2012 ◽  
Vol 163 ◽  
pp. 39-43 ◽  
Author(s):  
Wen Qi Wang ◽  
Dong Xiang Shao ◽  
Jian Feng Jiang ◽  
Guang Lin Wang
Keyword(s):  
Machine Vision ◽  
Measurement Method ◽  
Measuring Method ◽  
Optical Microscope ◽  
Geometric Parameters ◽  
Geometrical Parameters ◽  
Charge Couple Device ◽  
Vision Measurement ◽  
Improvement Method ◽  
Parameters Measurement

As an important component of the fasteners members, threads quality, depending on whether its geometric parameters meet requirements or not, will affect the reliability of the whole machine system. Therefore, geometrical parameters measurement of the thread is especially important. Aiming at the characteristics of the thread teeth type, this paper adopt a machine vision measurement method based on the universal tool microscope and CCD .This paper also analyzes the causes and influences of the teeth shading and proposes a corresponding improvement method, specific to the shading problem in the process of backlighting projection. After experimenting, this method can effectively improve the accuracy and efficiency of the male parameters measurement.

scholarly journals Adaptive Algorithm for the Quality Control of Braided Sleeving

2014 ◽  
Vol 6 ◽  
pp. 812060 ◽  
Author(s):  
Miha Pipan ◽  
Andrej Kos ◽  
Niko Herakovic
Keyword(s):  
Quality Control ◽  
Machine Vision ◽  
Adaptive Algorithm ◽  
Vision System ◽  
Robot Vision ◽  
Measuring Method ◽  
Industrial Applications ◽  
Visual Observation ◽  
Pipe Surface ◽  
Different Types

We describe the development and application of a robot vision based adaptive algorithm for the quality control of the braided sleeving of high pressure hydraulic pipes. With our approach, we can successfully overcome the limitations, such as low reliability and repeatability of braided quality, which result from the visual observation of the braided pipe surface. The braids to be analyzed come in different dimensions, colors, and braiding densities with different types of errors to be detected, as presented in this paper. Therefore, our machine vision system, consisting of a mathematical algorithm for the automatic adaptation to different types of braids and dimensions of pipes, enables the accurate quality control of braided pipe sleevings and offers the potential to be used in the production of braiding lines of pipes. The principles of the measuring method and the required equipment are given in the paper, also containing the mathematical adaptive algorithm formulation. The paper describes the experiments conducted to verify the accuracy of the algorithm. The developed machine vision adaptive control system was successfully tested and is ready for the implementation in industrial applications, thus eliminating human subjectivity.

A Measuring Method of Flexible Bar Based on Machine Vision

2012 ◽  
Vol 220-223 ◽  
pp. 1373-1376
Author(s):  
Shao Wei Liu ◽  
Wu Liu ◽  
Guo Qing Ding ◽  
Xin Chen
Keyword(s):  
Machine Vision ◽  
High Precision ◽  
Measuring Method ◽  
Displacement Sensor ◽  
Laser Displacement Sensor ◽  
Servo Motor ◽  
Bending Rigidity ◽  
Minimum Thickness ◽  
Vision Inspection ◽  
Precision Measuring

This paper studies a high-precision measuring method about minimum thickness of thin neck and bending rigidity of flexible bar based on machine vision. The measurement system combines with the advantages of image vision inspection and laser displacement detection. After rough leveling and precise leveling to the clamped workpiece through the interworking of the camera, laser displacement sensor and servo motor, the image of thin neck and the upper profile of workpiece are captured by camera and laser displacement sensor respectively. Then the workpiece is rotated 180 through servo motor so as to capture the image of thin neck again and detect the bottom profile. Based on the two groups of images and profiles acquired above, we can figure out the minimum thickness of thin neck and bending rigidity of the workpiece with high precision. The effectiveness and feasibility of this method are confirmed by computer simulation with ANSYS software and experimental results with needle gauge and flexible bar.

Machine Vision

2009 ◽  
Author(s):  
Wesley E. Snyder ◽  
Hairong Qi
Keyword(s):  
Machine Vision
Sign in / Sign up

Export Citation Format

Share Document